Integration of Machine Learning and Blockchain Technology in the Healthcare Field: A Literature Review and Implications for Cancer Care

Andy Cheng (Corresponding Author), Qiongyao Guan, Yan Su, Ping Zhou, Yingchun Zeng (Corresponding Author)

Research output: Journal article publicationReview articleAcademic researchpeer-review


This brief report aimed to describe a narrative review about the application of machine learning (ML) methods and Blockchain technology (BCT) in the healthcare field, and to illustrate the integration of these two technologies in cancer survivorship care. A total of six eligible papers were included in the narrative review. ML and BCT are two data-driven technologies, and there is rapidly growing interest in integrating them for clinical data management and analysis in healthcare. The findings of this report indicate that both technologies can integrate feasibly and effectively. In conclusion, this brief report provided the state-of-art evidence about the integration of the most promising technologies of ML and BCT in health field, and gave an example of how to apply these two most disruptive technologies in cancer survivorship care.

Original languageEnglish
Pages (from-to)720-724
Number of pages5
JournalAsia-Pacific Journal of Oncology Nursing
Issue number6
Publication statusPublished - 4 Oct 2021


  • Artificial intelligence
  • Blockchain
  • Cancer care
  • Machine learning

ASJC Scopus subject areas

  • Oncology
  • Oncology(nursing)

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